Data is often referred to as the new oil of the digital economy, representing a highly valuable and untapped asset. To fully realize the potential of spatial data, various spatial data marketplace ...

The cohort was randomly divided into training and testing datasets in a 7:3 ratio, and multiple ML techniques were used to develop an algorithm for optimizing initial vancomycin dosing. The optimal ...

Hash tables are one of the oldest and simplest data structures for storing elements and supporting deletions and queries. Invented in 1953, they underly most computational systems. Yet despite their ...

Across industries, HR leaders are facing a new reality: Machines are not just supporting HR—they are now shaping it. Generative AI is writing job descriptions, scanning resumes, curating training ...

A few years back, Google made waves when it claimed that some of its hardware had achieved quantum supremacy, performing operations that would be effectively impossible to simulate on a classical ...

We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Using data from ten healthy adults, we trained a Gradient Boosting (GB) surrogate model to predict normalized metabolic cost as a function of Peak Magnitude and End ...

A new technical paper titled “Hardware Acceleration of Kolmogorov-Arnold Network (KAN) in Large-Scale Systems” was published by researchers at Georgia Institute of Technology, National Tsing Hua ...

Abstract: The standard Bayesian optimization algorithm encounters the curse of dimensionality in high-dimensional problems. The difficulty of optimizing the acquisition function increases, resulting ...